mycpp Code Generation

Measure the speedup from mycpp, and the resource usage.

Source code: oil/mycpp/examples

User Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
fib_iter 8 900 0.008
modules 2 189 0.009
fib_recursive 11 872 0.012
loops 4 283 0.013
asdl_generated 11 378 0.029
parse 25 773 0.032
scoped_resource 48 1,038 0.046
files 4 77 0.048
containers 10 101 0.104
tuple_return_value 20 180 0.112
classes 3 27 0.121
length 41 205 0.199
cartesian 83 326 0.254
escape 102 348 0.293
varargs 12 24 0.521
cgi 280 518 0.541
control_flow 206 109 1.885

Max Resident Set Size (MB)

Lower ratios are better. We use MB (powers of 10), not MiB (powers of 2).

example name C++ Python C++ : Python
classes 4.5 10.7 0.41
loops 3.5 7.1 0.50
parse 3.8 7.5 0.51
cartesian 3.5 6.9 0.51
cgi 3.5 6.9 0.51
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_recursive 3.8 7.1 0.54
length 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
files 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
fib_iter 3.9 6.9 0.57
containers 28.5 47.8 0.60
varargs 5.4 7.1 0.76

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
cgi 0 4 0.000
classes 0 4 0.000
fib_iter 0 12 0.000
fib_recursive 0 12 0.000
loops 0 12 0.000
modules 0 4 0.000
scoped_resource 0 12 0.000
tuple_return_value 0 12 0.000
containers 5 36 0.144
parse 4 12 0.344
length 4 8 0.508
escape 4 4 0.981
control_flow 4 4 1.015
varargs 54 48 1.129
cartesian 8 4 1.958
files 4 0 inf

raw benchmark files